Remote Analytics Specialist

WHO YOU ARE
We are looking for a Senior Data Analyst who is excited to join a new team focused on delivering understanding and actionable insights into our customer's experience, and the experts that serve them. You like answering challenging and important questions with data. You are not afraid to innovate to find a better answer. And you like working on state-of-the-art technologies. All the while you solve real problems for IKEA customers and co-workers. You are a hands-on (Senior) Data Analyst who can build and present great analyses. You will join a diverse team within Remote Customer Meeting Points Analytics team based in Sweden. You are passionate about the possibilities of Data & Analytics and the value it can generate for the business. We believe you enjoy staying up to date on the latest developments, tools and technologies connected with AI and Machine Learning.
To be successful in this role we believe you have great knowledge of the contact center industry and its infrastructure. We believe your backpack consists of:
· Strong analytical skills with the capacity to translate business input into testable hypotheses, features, models or metrics
· Ability to perform work with a balanced trade-off between care and speed and with the ability to deliver insights without having the full picture.
· Deep knowledge of customer support center business and its infrastructure
· Experience in conducting analysis descriptive, predictive and descriptive and transforming these into clear actionable insights for stakeholders on all levels
· Experience with visualization tools
· Great knowledge of statistics and statistical modeling.
YOUR RESPONSIBILITIES
· Conducting advanced data exploration and analysis using modern data mining techniques, and visualization tools; capturing actionable insights
· Optimizing how to measure specific KPIs for the assigned area, to improve country steering and follow market performance
· Identifying relevant data points for the business and collaborating with relevant stakeholders in order to create and maintain the necessary reports and dashboards that enable high data transparency and optimal analysis
· Generating in-depth analysis by collaborating with relevant stakeholders in order to maximize insights quality, speed and root-cause accountability · Formulating feedback on analysis improvement needs in order to secure state-of-the-art tools and ways of working
· Applying agile ways of working in relation to advanced analytics, especially on topics like performance measurement and hypothesis testing by default, thus maximizing key metrics and ensuring that goals are met
· Ensuring collaboration with relevant stakeholders in order to secure a continuous improvement to the data models, data-capturing, data visualization, and data tooling capabilities and enable continuous improvement of performance. Your backpack is on our wish list! If you don't recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long term and invest in people's development together with us